Single-cell RNA sequencing links genetic mutations to cell behavior in cancer
Cancer develops through a process of evolution. As cells acquire mutations, some clones gain advantages that allow them to grow faster, survive longer, or resist treatment. Over time, these genetically distinct cell populations can make tumors increasingly difficult to ...
Machine learning approaches for biomarker discovery using single-cell RNA sequencing
Single-cell RNA sequencing, or scRNA-seq, allows researchers to measure gene activity in thousands or even millions of individual cells. Instead of averaging gene expression across an entire tissue sample, researchers can examine how different cell types and even individual ...
From bench to bytes: a practical guide to RNA sequencing data analysis
A practical guide helps molecular biologists understand RNA sequencing data analysis, from quality control and normalization to differential expression and biological interpretation...
RNA biomarkers could improve the diagnosis and treatment of neuropathic pain
Neuropathic pain develops when nerves are damaged or do not function properly. Unlike pain caused by a cut or an injury, neuropathic pain often persists long after the original damage has occurred. It affects an estimated 7% to 10% ...
Nanopore direct RNA sequencing expands the view of the transcriptome
Understanding how genes are regulated requires more than simply measuring which genes are turned on or off. Researchers also need to know which RNA molecules are produced, how they are spliced, whether they carry chemical modifications, and how long ...
How transformer AI models are advancing single-cell RNA sequencing
Single-cell RNA sequencing has become one of the most powerful tools for studying biology because it allows researchers to measure gene activity in individual cells. This technology has improved our understanding of cancer, development, and many other diseases by ...
Single-cell maps of the tumor microenvironment reveal specialized immune subsets
A comprehensive review led by researchers at the Biomedical Pioneering Innovation Center (BIOPIC), Peking University, China, and Chongqing Medical University, China, was published in Volume 2, article number 27 of the journal Immunity & Inflammation on June 05, 2026. ...
Empowering fungal infection research with single-cell RNA sequencing
Fungal infections are becoming an increasingly important global health concern. They affect millions of people worldwide, threaten food production, and are responsible for significant illness and death. Despite their growing impact, fungal diseases have historically received less research attention ...
Building in silico patients using RNA sequencing and AI
Cancer is not made up of identical cells. Tumors often contain a mix of different cell types, each behaving in its own way. This complexity, known as cellular heterogeneity, makes it difficult to predict how a patient will respond ...
A practical guide to targeted single-cell RNA sequencing technologies
Single cell RNA sequencing has become one of the most powerful tools in modern biology. It allows researchers to measure gene activity in individual cells, helping scientists understand cell types, developmental processes, and disease mechanisms. However, current single cell ...
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